On Chaos Character of Dynamic Fuzzy Neural Network
The chaos character of dynamic fuzzy neural network is further explored and analyzed in this paper applying the traditional Lyapunov exponent method. Firstly, the working principle of dynamic fuzzy neural network is introduced, and then the discretization network model is given by Euler method. The dissipation and chaos traits of single dynamic fuzzy neuron and dynamic fuzzy neural networks are proved separately. According to Lyapunov exponent discriminance criterion, four conditions are deduced, which the parameters should satisfy to prove the existence of chaos in single dynamic neuron and dynamic fuzzy neural network.
dynamic fuzzy neruon dynamic fuzzy neural network chaos Lyapunov exponent
Mo Tang Kejun Wang Xiaojun Bi
Department of Automation,Harbin Engineering University,Harbin, 150001, China Department of Information and Communication Engineering,Harbin Engineering University,Harbin, 150001
国际会议
昆明、丽江
英文
1011-1015
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）